Modeling and optimization of pectinase-assisted low-temperature extraction of cashew apple juice using artificial neural network coupled with genetic algorithm

Ultrasound-assisted extraction of polyphenols from Moutan Cortex using natural deep eutectic solvent: Optimization, molecular mechanisms, and lipid-lowering activity

“…The absolute errors shown in Fig. 5 H fluctuate narrowly around zero with no obvious drift, suggesting that errors are mostly random rather than systematic [48] . This is a useful sign because systematic errors usually imply that the model consistently overestimates or underestimates under certain conditions, which would be risky for optimization.…”

“…Although RSM is widely used for extraction optimization because of its simplicity and interpretability, its quadratic polynomial structure may limit its ability to describe complex nonlinear extraction processes. Recent studies have shown that intelligent optimization models, such as GA-ANN, GA-ACO-BP, and SVR-based algorithms, can provide improved prediction performance for the extraction of bioactive compounds [46] , [47] , [48] , [49] . To further evaluate the predictive advantage of the proposed model, a conventional RSM model was additionally constructed using the same extraction variables and TPC response.…”

Ultrasound-assisted extraction of polyphenols from Moutan Cortex using natural deep eutectic solvent: Optimization, molecular mechanisms, and lipid-lowering activity

“…The absolute errors shown in Fig. 5 H fluctuate narrowly around zero with no obvious drift, suggesting that errors are mostly random rather than systematic [48] . This is a useful sign because systematic errors usually imply that the model consistently overestimates or underestimates under certain conditions, which would be risky for optimization.…”

“…Although RSM is widely used for extraction optimization because of its simplicity and interpretability, its quadratic polynomial structure may limit its ability to describe complex nonlinear extraction processes. Recent studies have shown that intelligent optimization models, such as GA-ANN, GA-ACO-BP, and SVR-based algorithms, can provide improved prediction performance for the extraction of bioactive compounds [46] , [47] , [48] , [49] . To further evaluate the predictive advantage of the proposed model, a conventional RSM model was additionally constructed using the same extraction variables and TPC response.…”

Optimization of Pectinase-Assisted Extraction from Date Palm and Development of a Bael–Jujube Ready-to-Drink Beverage: A Two-Stage Approach

“…This experimental design allows assessment of the relative contributions of enzymatic vs. thermal mechanisms across the full temperature spectrum, with the 50–60 °C range representing conditions where enzymatic activity predominates. An increasing extraction’s yield (83.40%) was reported for pectinase-assisted (0.1%) extracts of cashew juice at 48 °C [ 14 ]. The extraction conditions at that study were temperature (30–50 °C), time (20–60 min) and the concentration of pectinase was 0.08–0.1%.…”

Optimization of Microwave-Assisted Extraction of Phenolic Compounds from Opuntia ficus-indica Cladodes

“…The genetic algorithm is an efficient tool for optimizing a variety of near-linear and non-linear problems by examining every potential solution space and applying various operations, including crossover, mutation, and population size, to obtain more desirable results [33]. GA was implemented in the ANN model to determine the optimum conditions of the inputs and predict the TPC value.…”

Ultrasound-assisted extraction of polyphenols from Moutan Cortex using natural deep eutectic solvent: Optimization, molecular mechanisms, and lipid-lowering activity

“…The absolute errors shown in Fig. 5 H fluctuate narrowly around zero with no obvious drift, suggesting that errors are mostly random rather than systematic [48] . This is a useful sign because systematic errors usually imply that the model consistently overestimates or underestimates under certain conditions, which would be risky for optimization.…”

“…Although RSM is widely used for extraction optimization because of its simplicity and interpretability, its quadratic polynomial structure may limit its ability to describe complex nonlinear extraction processes. Recent studies have shown that intelligent optimization models, such as GA-ANN, GA-ACO-BP, and SVR-based algorithms, can provide improved prediction performance for the extraction of bioactive compounds [46] , [47] , [48] , [49] . To further evaluate the predictive advantage of the proposed model, a conventional RSM model was additionally constructed using the same extraction variables and TPC response.…”

Optimization of Pectinase-Assisted Extraction from Date Palm and Development of a Bael–Jujube Ready-to-Drink Beverage: A Two-Stage Approach

“…This experimental design allows assessment of the relative contributions of enzymatic vs. thermal mechanisms across the full temperature spectrum, with the 50–60 °C range representing conditions where enzymatic activity predominates. An increasing extraction’s yield (83.40%) was reported for pectinase-assisted (0.1%) extracts of cashew juice at 48 °C [ 14 ]. The extraction conditions at that study were temperature (30–50 °C), time (20–60 min) and the concentration of pectinase was 0.08–0.1%.…”

Optimization of Microwave-Assisted Extraction of Phenolic Compounds from Opuntia ficus-indica Cladodes

“…The genetic algorithm is an efficient tool for optimizing a variety of near-linear and non-linear problems by examining every potential solution space and applying various operations, including crossover, mutation, and population size, to obtain more desirable results [33]. GA was implemented in the ANN model to determine the optimum conditions of the inputs and predict the TPC value.…”

Ultrasound-assisted extraction of polyphenols from Moutan Cortex using natural deep eutectic solvent: Optimization, molecular mechanisms, and lipid-lowering activity

“…The absolute errors shown in Fig. 5 H fluctuate narrowly around zero with no obvious drift, suggesting that errors are mostly random rather than systematic [48] . This is a useful sign because systematic errors usually imply that the model consistently overestimates or underestimates under certain conditions, which would be risky for optimization.…”

“…Although RSM is widely used for extraction optimization because of its simplicity and interpretability, its quadratic polynomial structure may limit its ability to describe complex nonlinear extraction processes. Recent studies have shown that intelligent optimization models, such as GA-ANN, GA-ACO-BP, and SVR-based algorithms, can provide improved prediction performance for the extraction of bioactive compounds [46] , [47] , [48] , [49] . To further evaluate the predictive advantage of the proposed model, a conventional RSM model was additionally constructed using the same extraction variables and TPC response.…”

Optimization of Pectinase-Assisted Extraction from Date Palm and Development of a Bael–Jujube Ready-to-Drink Beverage: A Two-Stage Approach

“…This experimental design allows assessment of the relative contributions of enzymatic vs. thermal mechanisms across the full temperature spectrum, with the 50–60 °C range representing conditions where enzymatic activity predominates. An increasing extraction’s yield (83.40%) was reported for pectinase-assisted (0.1%) extracts of cashew juice at 48 °C [ 14 ]. The extraction conditions at that study were temperature (30–50 °C), time (20–60 min) and the concentration of pectinase was 0.08–0.1%.…”

Optimization of Microwave-Assisted Extraction of Phenolic Compounds from Opuntia ficus-indica Cladodes

“…The genetic algorithm is an efficient tool for optimizing a variety of near-linear and non-linear problems by examining every potential solution space and applying various operations, including crossover, mutation, and population size, to obtain more desirable results [33]. GA was implemented in the ANN model to determine the optimum conditions of the inputs and predict the TPC value.…”